AI Computing Software Development Engineer, TensorRT
Nvidia · Beijing, China
About this role
Nvidia is hiring a mid-level Software Engineer based in Beijing, China. The posting calls out experience with C, TensorFlow, LLMs, Deep Learning and roughly 2+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Beijing, China
- Experience
- 2+ years
- Education
- Master's degree
- Posted
- Apr 28, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are now looking for a TensorRT Software Development Engineer! NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.
What you'll be doing:
Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
Performance analysis, optimization and tuning
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT
Provide feedback into the architecture and hardware design and development
Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams
Publish key results in scientific conferences
What we need to see:
Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
2+ years of relevant software development experience.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
This is an excerpt. Read the full job description on Nvidia careers →